IODS course project
Anne Tyvijärvi
Introduction to Open Data Science - Course Project
How are you feeling right now? What do you expect to learn? Where did you hear about the course?
- I feel like
- I’m going to learn a lot
- I might need some help along the way
- A friend of mine
- told me about the course and
- encouraged me to participate
Also reflect on your learning experiences with the R for Health Data Science book and the Exercise Set 1: How did it work as a “crash course” on modern R tools and using RStudio? Which were your favorite topics? Which topics were most difficult? Some other comments on the book and our new approach of getting started with R Markdown etc.?
- The book is really nice because
- the examples are clear and well explained
- In addition
- for me, it really helps to have the code ready and to be able to try them for myself while reading
- nothing has been “difficult”, although there were many things that I’ve never seen or tried before
## [1] "The date today is"##
## Attaching package: 'lubridate'## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, union## [1] "2023-11-01 10:24:53 EET"The text does not continue here
Insert chapter 2 title here
Describe the work you have done this week and summarize your learning.
- Describe your work and results clearly.
- Assume the reader has an introductory course level understanding of writing and reading R code as well as statistical methods.
- Assume the reader has no previous knowledge of your data or the more advanced methods you are using.
date()## [1] "Wed Nov 1 10:24:53 2023"Here we go again…
(more chapters to be added similarly as we proceed with the course!)